Work

AI-Driven Multi-Sensory Brainwave Synchronization for Human-Computer Interfaces and Neural Communication

Year: 2025

Type: article

Abstract: This research presents an advanced AI-driven brainwave synchronization system capable of multisensory integration, cross-species communication, and real-time neural interface development. Through extensive testing of frequency variations and structured energy flow, we demonstrate a self-correcting neural model resistant to disturbances. This system enables potential breakthroughs in AI-assisted medical technologies, human-computer interaction, and cognitive augmentation. Python Code Included, at the bottom of research paper.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14890089

Authors: Hilmir Frímann Halldórsson, ChatGPT AI, Roary cat

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W6893350821

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